Analytic inversion of covariant holographic entanglement entropy reconstructs the bulk stationary radial metric block via Abel-type integrals for fixed kappa ratios, with cross-family agreement required as the integrability condition.
Vidal,Class of quantum many-body states that can be efficiently simulated, Physical Review Letters101, 10.1103/physrevlett.101.110501 (2008)
8 Pith papers cite this work. Polarity classification is still indexing.
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A zero-mode gauge fixing technique truncates bonds in loopy tensor networks by exploiting linear dependencies in the metric tensor of cut-bond states, applied to iPEPS representations of the finite-temperature 2D Z2 lattice gauge theory.
Dilated RNN wave functions induce power-law correlations for the critical 1D transverse-field Ising model and the Cluster state, unlike the exponential decay of conventional RNN ansatze.
Clifford disentanglers classified by Schmidt spectrum action reduce energy errors at fixed bond dimension in MPS simulations of molecules and improve shallow-circuit VQE calculations.
A variational quantum autoencoder detects anomalies in brain MRI by scoring resistance to compression, reporting slice-level ROC-AUC of 0.95 and outperforming classical autoencoders and PCA on public datasets.
Light cone cancellation decomposes VQE circuits for Max-Cut into smaller subcircuits, yielding higher approximation ratios on simulated noisy backends up to 100 qubits compared to standard VQE.
QCNN, QRNN, and QViT perform well on low-feature data but degrade on high-feature datasets, with QViT most robust to quantum noise and classical-style models better against adversarial noise.
Introductory lecture notes on tensor networks with emphasis on matrix-product states, their algorithms, higher-dimensional generalizations, and applications to mixed states and open quantum systems, accompanied by Julia code.
citing papers explorer
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Covariant Holographic Entanglement Entropy Inversion to Reconstruct Bulk Geometry
Analytic inversion of covariant holographic entanglement entropy reconstructs the bulk stationary radial metric block via Abel-type integrals for fixed kappa ratios, with cross-family agreement required as the integrability condition.
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Truncating loopy tensor networks by zero-mode gauge fixing: the $Z_2$ lattice gauge theory at finite temperature
A zero-mode gauge fixing technique truncates bonds in loopy tensor networks by exploiting linear dependencies in the metric tensor of cut-bond states, applied to iPEPS representations of the finite-temperature 2D Z2 lattice gauge theory.
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Clifford disentanglers for entanglement reduction in molecular electronic structure simulations
Clifford disentanglers classified by Schmidt spectrum action reduce energy errors at fixed bond dimension in MPS simulations of molecules and improve shallow-circuit VQE calculations.
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Compression-Driven Anomaly Detection in Brain MRI Using an Interpretable Quantum Autoencoder
A variational quantum autoencoder detects anomalies in brain MRI by scoring resistance to compression, reporting slice-level ROC-AUC of 0.95 and outperforming classical autoencoders and PCA on public datasets.
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Light Cone Cancellation for Variational Quantum Eigensolver in Solving Noisy Max-Cut
Light cone cancellation decomposes VQE circuits for Max-Cut into smaller subcircuits, yielding higher approximation ratios on simulated noisy backends up to 100 qubits compared to standard VQE.
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A Comprehensive Analysis of Accuracy and Robustness in Quantum Neural Networks
QCNN, QRNN, and QViT perform well on low-feature data but degrade on high-feature datasets, with QViT most robust to quantum noise and classical-style models better against adversarial noise.
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Introduction to matrix-product states and tensor networks
Introductory lecture notes on tensor networks with emphasis on matrix-product states, their algorithms, higher-dimensional generalizations, and applications to mixed states and open quantum systems, accompanied by Julia code.